Software Engineer (Computer Vision / Machine Learning)

Software Engineer (Computer Vision / Machine Learning)

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About Hazen.ai

Hazen.ai is leveraging state-of-the-art AI to make our roads safer. We use the latest advances in Deep Learning to engineer a new generation of smart traffic cameras with advanced video analytics.

Job Role

As a CV&ML software developer, you will be the brain behind crafting, developing, testing, going live, and maintaining the CV&ML part of our products. You are passionate about understanding the business context for features built to drive better customer experience and adoption.

Responsibilities

• Code, optimize, evaluate, and iterate on Object Detection and/or other DL problems.

• Debug models - it will be tricky, CNNs are susceptible to under-perform silently.

• Draw conclusions from experiments - back your deductions with clear and concise quantitative results.

• Log experiments effectively for reproducibility and reporting.

• Write test cases to ensure that code is error-free at each step.

• Code, optimize, evaluate, and iterate on Object Detection and/or other DL problems.

• Debug models - it will be tricky, CNNs are susceptible to under-perform silently.

• Draw conclusions from experiments - back your deductions with clear and concise quantitative results.

• Log experiments effectively for reproducibility and reporting.

• Write test cases to ensure that code is error-free at each step.

Requirements

• Demonstrated experience in training, testing, and optimizing CNNs. (Fresh graduates are also

encouraged to apply)

• Good hands-on familiarity with Python programming language.

• Good understanding of Linear Algebra - Vector Spaces, Affine Transformations, Matrix

Decomposition, etc.

• Good understanding of model evaluation metrics.

• Demonstrated experience in training, testing, and optimizing CNNs. (Fresh graduates are also

encouraged to apply)

• Good hands-on familiarity with Python programming language.

• Good understanding of Linear Algebra - Vector Spaces, Affine Transformations, Matrix

Decomposition, etc.

• Good understanding of model evaluation metrics.

Preferred

• Hands-on industry experience in training, testing, and optimizing CNNs.

• Have read Pattern Recognition (Bishop) and/or Deep Learning (Ian Goodfellow).

• Can write truly Pythonic code.

• Hands-on experience with C/C++ programming language.

• Familiarity with CUDA library.

• Experience with Docker or any other container technology.

• Experience with experiment logging libraries like Sacred, Digits, etc.